| Variational inference of disentangled latent concepts from unlabeled observations A Kumar, P Sattigeri, A Balakrishnan arXiv preprint arXiv:1711.00848, 2017 | 594 | 2017 |
| Word mover's embedding: From word2vec to document embedding L Wu, IEH Yen, K Xu, F Xu, A Balakrishnan, PY Chen, P Ravikumar, ... arXiv preprint arXiv:1811.01713, 2018 | 147 | 2018 |
| Model Agnostic Contrastive Explanations for Classification Models A Dhurandhar, T Pedapati, A Balakrishnan, PY Chen, K Shanmugam, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2024 | 89* | 2024 |
| Incorporating behavioral constraints in online AI systems A Balakrishnan, D Bouneffouf, N Mattei, F Rossi Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3-11, 2019 | 84 | 2019 |
| Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation. A Balakrishnan, D Bouneffouf, N Mattei, F Rossi IJCAI, 5802-5804, 2018 | 66 | 2018 |
| Infusing knowledge into the textual entailment task using graph convolutional networks P Kapanipathi, V Thost, SS Patel, S Whitehead, I Abdelaziz, ... Proceedings of the AAAI conference on artificial intelligence 34 (05), 8074-8081, 2020 | 62 | 2020 |
| Learning global transparent models consistent with local contrastive explanations T Pedapati, A Balakrishnan, K Shanmugam, A Dhurandhar Advances in neural information processing systems 33, 3592-3602, 2020 | 41 | 2020 |
| Using multi-armed bandits to learn ethical priorities for online AI systems A Balakrishnan, D Bouneffouf, N Mattei, F Rossi IBM Journal of Research and Development 63 (4/5), 1: 1-1: 13, 2019 | 39 | 2019 |
| Constrained decision-making and explanation of a recommendation A Balakrishnan, D Bouneffouf, N Mattei, F Rossi US Patent App. 16/050,176, 2020 | 12 | 2020 |
| Model agnostic contrastive explanations for structured data A Dhurandhar, PY Chen, K Shanmugam, T Pedapati, A Balakrishnan, ... US Patent 11,507,787, 2022 | 6 | 2022 |
| DeepVoting: Learning Voting Rules with Tailored Embeddings L Matone, B Abramowitz, N Mattei, A Balakrishnan arXiv preprint arXiv:2408.13630, 2024 | | 2024 |
| Infusing knowledge into natural language processing tasks using graph structures PK Bangalore, K Talamadupula, V Thost, SS Patel, I Abdelaziz, ... US Patent 11,429,876, 2022 | | 2022 |
| Learning Global Transparent Models from Local Contrastive Explanations. T Pedapati, A Balakrishnan, K Shanmugam, A Dhurandhar CoRR, 2020 | | 2020 |
Nicholas MatteiAssociate Professor, Tulane UniversityZweryfikowany adres z tulane.edu
